A DFT-based QSAR study on inhibition of human dihydrofolate reductase

被引:17
|
作者
Karabulut, Sedat [1 ]
Sizochenko, Natalia [2 ]
Orhan, Adnan [3 ]
Leszczynski, Jerzy [2 ]
机构
[1] Balikesir Univ, Fac Sci & Literature, Dept Chem, TR-10145 Balikesir, Turkey
[2] Jackson State Univ, Dept Chem & Biochem, Interdisciplinary Nanotox Ctr, Jackson, MS 39217 USA
[3] Uludag Univ, Dept Obstet & Gynaecol, Sch Med, Gorukle Kampusu, TR-16120 Bursa, Turkey
基金
美国国家科学基金会;
关键词
Dihydrofolate reductase; Diaminopyrimidine; DFT; Descriptors; QSAR; QSARins; NEURAL-NETWORKS; PNEUMOCYSTIS-CARINII; POTENT INHIBITORS; DERIVATIVES; TRIAZINES; ANALOGS; COMPLEX; FUTURE; MODEL;
D O I
10.1016/j.jmgm.2016.09.005
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Diaminopyrimidine derivatives are frequently used as inhibitors of human dihydrofolate reductase, for example in treatment of patients whose immune system are affected by human immunodeficiency virus. Forty-seven dicyclic and tricyclic potential inhibitors of human dihydrofolate reductase were analyzed using the quantitative structure-activity analysis supported by DFT-based and DRAGON-based descriptors. The developed model yielded an RMSE deviation of 1.1 a correlation coefficient of 0.81. The prediction set was characterized by R-2 = 0.60 and RMSE = 3.59. Factors responsible for inhibition process were identified and discussed. The resulting model was validated via cross validation and Y-scrambling procedure. From the best model, we found several mass-related descriptors and Sanderson electronegativity-related descriptors that have the best correlations with the investigated inhibitory concentration. These descriptors reflect results from QSAR studies based on characteristics of human dihydrofolate reductase inhibitors. (C) 2016 Published by Elsevier Inc.
引用
收藏
页码:23 / 29
页数:7
相关论文
共 50 条
  • [11] DFT-based QSAR study and molecular design of AHMA derivatives as potent anticancer agents
    Chen, Jincan
    Shen, Yong
    Liao, Siyan
    Chen, Lanmei
    Zheng, Kangcheng
    INTERNATIONAL JOURNAL OF QUANTUM CHEMISTRY, 2007, 107 (06) : 1468 - 1478
  • [12] INHIBITION OF HUMAN DIHYDROFOLATE-REDUCTASE BY ANTIFOLYL POLYGLUTAMATES
    KUMAR, P
    KISLIUK, RL
    GAUMONT, Y
    FREISHEIM, JH
    NAIR, MG
    BIOCHEMICAL PHARMACOLOGY, 1989, 38 (03) : 541 - 543
  • [14] QSAR Study on the Inhibition to Eschericha Coli Dihydrofolate Reductase by 5-substituted-2,4-diamino Pyrimidines
    Li Renli et alDepartment of Medicinal Chemistry Beijing Medical University Beijing China
    计算机与应用化学, 1995, (02) : 146 - 146
  • [15] QSAR study of dihydrofolate reductase inhibitors activities based on optimization of correlation weights of local graph invariants
    Mohsen Kompany-Zareh
    Maryam Khoshkam
    Journal of the Iranian Chemical Society, 2012, 9 : 269 - 276
  • [16] QSAR study of dihydrofolate reductase inhibitors activities based on optimization of correlation weights of local graph invariants
    Kompany-Zareh, Mohsen
    Khoshkam, Maryam
    JOURNAL OF THE IRANIAN CHEMICAL SOCIETY, 2012, 9 (03) : 269 - 276
  • [17] RETRACTED: DFT Based QSAR Study of Enzyme Ribonucleoside Diphosphate Reductase (Retracted Article)
    Ansari, Mohiuddin
    Khan, Ahmad Khalid Raza
    Khan, Suhail Ahmad
    E-JOURNAL OF CHEMISTRY, 2010, 7 (03) : 953 - 961
  • [18] Pharmacoinformatic Study on the Selective Inhibition of the Protozoan Dihydrofolate Reductase Enzymes
    Sharma, Vishnu K.
    Abbat, Sheenu
    Bharatam, P. V.
    MOLECULAR INFORMATICS, 2017, 36 (11)
  • [19] DFT-based QSAR study of alkanols and alkanthiols using the conductor-like polarizable continuum model (CPCM)
    Azizi, Khaled
    Safarpour, Mohammad Ali
    Keykhaee, Maryam
    Mehdipour, Ahmad Reza
    JOURNAL OF MOLECULAR MODELING, 2009, 15 (12) : 1509 - 1515
  • [20] A DFT-based toxicity QSAR study of aromatic hydrocarbons to Vibrio fischeri: Consideration of aqueous freely dissolved concentration
    Wang, Ying
    Yang, Xianhai
    Wang, Juying
    Cong, Yi
    Mu, Jingli
    Jin, Fei
    JOURNAL OF HAZARDOUS MATERIALS, 2016, 308 : 149 - 156